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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Recent progress in road and lane detection: a surveyMachine vision and applications, 2014-04, Vol.25 (3), p.727-745 [Peer Reviewed Journal]Springer-Verlag 2012 ;Machine Vision and Applications is a copyright of Springer, (2012). All Rights Reserved. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-011-0404-2Full text available |
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A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosisMachine vision and applications, 2021, Vol.32 (1), p.14-14, Article 14 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-020-01128-8 ;PMID: 33169050Full text available |
| 3 |
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Deep convolutional neural networks with transfer learning for automated brain image classificationMachine vision and applications, 2020-03, Vol.31 (3), Article 20 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-020-01069-2Full text available |
| 4 |
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Audiovisual emotion recognition in wildMachine vision and applications, 2019-07, Vol.30 (5), p.975-985 [Peer Reviewed Journal]The Author(s) 2018 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-018-0960-9Full text available |
| 5 |
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Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filtersMachine vision and applications, 2016-11, Vol.27 (8), p.1137-1149 [Peer Reviewed Journal]The Author(s) 2016 ;Copyright Springer Science & Business Media 2016 ;Machine Vision and Applications is a copyright of Springer, (2016). All Rights Reserved. © 2016. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-016-0781-7Full text available |
| 6 |
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Detecting cerebral microbleeds with transfer learningMachine vision and applications, 2019-10, Vol.30 (7-8), p.1123-1133 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Machine Vision and Applications is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-019-01029-5Full text available |
| 7 |
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Utilization of DenseNet201 for diagnosis of breast abnormalityMachine vision and applications, 2019-10, Vol.30 (7-8), p.1135-1144 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Machine Vision and Applications is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-019-01042-8Full text available |
| 8 |
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Multi-view traffic sign detection, recognition, and 3D localisationMachine vision and applications, 2014-04, Vol.25 (3), p.633-647 [Peer Reviewed Journal]Springer-Verlag 2011 ;Machine Vision and Applications is a copyright of Springer, (2011). All Rights Reserved. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-011-0391-3Full text available |
| 9 |
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Driving behaviour recognition from still images by using multi-stream fusion CNNMachine vision and applications, 2019-07, Vol.30 (5), p.851-865 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-018-0994-zFull text available |
| 10 |
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End-to-end optical music recognition for pianoform sheet musicInternational journal on document analysis and recognition, 2023-09, Vol.26 (3), p.347-362 [Peer Reviewed Journal]The Author(s) 2023 ;ISSN: 1433-2833 ;EISSN: 1433-2825 ;DOI: 10.1007/s10032-023-00432-zDigital Resources/Online E-Resources |
| 11 |
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Hyper-parameter optimization of deep learning model for prediction of Parkinson’s diseaseMachine vision and applications, 2020-07, Vol.31 (5), Article 32 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-020-01078-1Full text available |
| 12 |
Material Type: Article
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Inflated 3D ConvNet context analysis for violence detectionMachine vision and applications, 2022, Vol.33 (1), Article 15 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-021-01264-9Full text available |
| 13 |
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Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the artMachine vision and applications, 2016-11, Vol.27 (8), p.1275-1288 [Peer Reviewed Journal]Springer-Verlag Berlin Heidelberg 2016 ;Copyright Springer Science & Business Media 2016 ;Machine Vision and Applications is a copyright of Springer, (2016). All Rights Reserved. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-016-0776-4Full text available |
| 14 |
Material Type: Article
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Crowd analysis: a surveyMachine vision and applications, 2008-10, Vol.19 (5-6), p.345-357 [Peer Reviewed Journal]Springer-Verlag 2008 ;Springer-Verlag 2008. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-008-0132-4Full text available |
| 15 |
Material Type: Article
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An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture featureMachine vision and applications, 2022, Vol.33 (1), Article 6 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-021-01262-xFull text available |
| 16 |
Material Type: Article
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ColpoNet for automated cervical cancer screening using colposcopy imagesMachine vision and applications, 2020-03, Vol.31 (3), Article 15 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-020-01063-8Full text available |
| 17 |
Material Type: Article
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Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarpingInternational journal on document analysis and recognition, 2023-09, Vol.26 (3), p.175-186 [Peer Reviewed Journal]The Author(s) 2023 ;ISSN: 1433-2833 ;EISSN: 1433-2825 ;DOI: 10.1007/s10032-023-00434-xDigital Resources/Online E-Resources |
| 18 |
Material Type: Article
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Historical document image analysis using controlled data for pre-trainingInternational journal on document analysis and recognition, 2023-09, Vol.26 (3), p.241-254 [Peer Reviewed Journal]The Author(s) 2023 ;ISSN: 1433-2833 ;EISSN: 1433-2825 ;DOI: 10.1007/s10032-023-00437-8Digital Resources/Online E-Resources |
| 19 |
Material Type: Article
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A comparative study of breast cancer tumor classification by classical machine learning methods and deep learning methodMachine vision and applications, 2020-09, Vol.31 (6), Article 46 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-020-01094-1Full text available |
| 20 |
Material Type: Article
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Improved deep learning-based macromolecules structure classification from electron cryo-tomogramsMachine vision and applications, 2018-11, Vol.29 (8), p.1227-1236 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Copyright Springer Science & Business Media 2018 ;Machine Vision and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-018-0949-4 ;PMID: 31511756Full text available |
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